MLOps Engineer (AI/ML Systems)

TL;DR

MLOps Engineer (AI/ML Systems): Building and operating production-grade ML pipelines within a mission-critical, classified environment supporting Air Force and NASIC-aligned programs with an accent on reliability, auditability, and stability. Focus on deploying models into mission environments, enabling both batch and real-time inference architectures, and establishing data discipline.

Location: Dayton, OH (On-site Preferred) | Remote Eligible (CAC-Ready Candidates)

Company

hirify.global is a software consultancy that builds cloud-native solutions for startups, enterprises, and the public sector.

What you will do

• Build and operate production-grade ML pipelines.
• Deploy models into mission environments, enabling both batch and real-time inference architectures.
• Design systems for reproducibility, auditability, and stability.
• Deploy and manage Kubernetes-based ML workloads.
• Enable data versioning and governance.
• Develop runbooks, playbooks, and deployment standards.

Requirements

• Experience deploying ML systems into production environments.
• Strong background in Python and ML frameworks (PyTorch, TensorFlow, etc.).
• Hands-on experience with ML pipeline orchestration tools (Kubeflow, Airflow, Argo) and experiment tracking (MLflow, ClearML).
• Experience with Kubernetes and containerized workloads.
• Familiarity with CI/CD for ML systems.
• Understanding of distributed systems and scalable architectures.

Nice to have

• Experience working with LLMs or transformer-based models and computer vision systems (YOLO, Faster R-CNN).

Culture & Benefits

• 100% covered certifications & training aligned to your role.
• 401(k) with 100% match up to 6%.
• Highly competitive PTO.
• Comprehensive Medical, Dental, Vision coverage.
• Life Insurance + Short & Long-Term Disability.
• Home office & equipment plan.